Clare S. Y. Huang Data Scientist | Atmospheric Dynamicist

Discussion on the application of Contrastive Learning to train Sentence Embedding

In the previous discussion I led, I introduced the idea of learning visual representation in unsupervised manner. This week, I am introducing the following paper that applies deep contrastive learning to train sentence embedding:

Giorgi, J. M., Nitski, O., Bader, G. D., & Wang, B. (2020). Declutr: Deep contrastive learning for unsupervised textual representations. arXiv preprint arXiv:2006.03659.

The presentation slides I used for discussion can be found here.

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